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MODELING AND FORECASTING EMERGENCY DEPARTMENTS’ PATIENTS FLOW, IN GRAND-EST REGION
Amor Keziou, Philippe Regnault, Laurie Sapia, Céline Giget

MODELING AND FORECASTING EMERGENCY DEPARTMENTS’ PATIENTS FLOW, IN GRAND-EST REGION

Science & Mathematics Published 2025 Verification Pending

Overview & Synopsis

Hospital tensions in the French emergency departments (EDs) have increased last years and are widely publicized. Organizational, structural or cyclical factors can explain this situation and encourage an understanding and anticipation of the flows of patients in the EDs. The modeling of the flow of passage in hospital departments, including EDs, has been the subject of numerous publications in recent years, in France and internationally. In this paper, we propose a generalized additive model of daily flows, incorporating exogenous information (such as school holiday periods), in which trend is a linear combination of orthogonal polynomials function and seasonality is a combination of harmonics learned from the data. This model is adjusted individually for each ED of the French Grand Est area from the series of passages provided by the association Est-RESCUE. The flow forecasting performances of the proposed model are evaluated and compared to those of the classical SNAIVE, SARIMA and PROPHET.

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Document Information

Document Title MODELING AND FORECASTING EMERGENCY DEPARTMENTS’ PATIENTS FLOW, IN GRAND-EST REGION
Author / Organization Amor Keziou, Philippe Regnault, Laurie Sapia, Céline Giget
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2025
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-80670
Original Source Link Visit Source Page on hal.science »